The GCI Dashboard

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Country Rank


Congo Brazzaville

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating


Recovery Index
(Out of 100)

(100 = Best, 0 = Worst)

COVID-19 Severity Rating


Severity Index
(Out of 100)

(0 = Best, 100 = Worst)

Stringency Rating


(100 = Strictest Measures, 0 = No Measures)


(Low Density)

GNI per capita (US$)


(Lower middle income)
5 Countries who have made the most progress in
curtailing the spread of the pandemic and can be
used as examples of best practices (Relative Rating)

2 Countries who are struggling to cope with the crisis
and who may need to consider maintaining stringent
non-pharmaceutical measures (Relative Rating)
1 Countries who are coping with the crisis with a low percentage
of infections and resulting deaths per population
(Relative Rating)
3 Countries who may be overwhelmed by the crisis with a high
percentage of infections and resulting deaths per population
(Relative Rating)

Travel Advisory

Airports in Congo are closed.

Travel Advisory information provided and published with permission by IATA.

Congo Brazzaville Infection Trend

How can you tell if a curve is really flattening?

The number of daily confirmed cases has been used as an estimation of how severe the COVID-19 situation is in a given country. However, we’ve found that focusing on the country’s cumulative number of active cases gives a clearer picture of whether the infection curve is flattening.

Countries with Similar Characteristics

This table is generated by a GCI-developed tool to match countries based on their similar characteristics such as population, population density, income and climate.

Congo Brazzaville 43.80 5,380,508 Low Density Lower middle income 26-30 deg
Country Recovery Index Population Density GNI per capita Average Temperature since First Case (Celsius) Match%
Mauritania 56.73 4,525,696 Low Density Lower middle income 26-30 deg 100%
Papua New Guinea 55.28 8,776,109 Low Density Lower middle income 26-30 deg 100%
Mongolia 63.25 3,225,167 Low Density Lower middle income < 10 deg 85%
Central African Republic 33.10 4,745,185 Low Density Low income 26-30 deg 75%
Gabon 51.06 2,172,579 Low Density Upper middle income 26-30 deg 75%
Oman 45.74 4,974,986 Low Density High income 26-30 deg 75%
Botswana 22.18 2,303,697 Low Density Upper middle income 21-25 deg 60%
Finland 68.15 5,520,314 Low Density High income < 10 deg 60%
Libya 27.58 6,777,452 Low Density Upper middle income 21-25 deg 60%
Namibia 53.34 2,494,530 Low Density Upper middle income 21-25 deg 60%

GCI Recovery Forecast

The GCI Recovery Forecasting methodology relies on a Monte Carlo simulation model as we recognise that the factors that contribute to an increase / decrease in confirmed COVID19 cases are highly variable and subject to various localised circumstances and interventions. The P10 / P50 / P90 are probabilities assigned to the forecasts, with P10 being highly optimistic, and P90 being very conservative on recovery and reduction in cases. The forecast model is updated daily based on the latest case data.

Forecast Results:

Situation May Improve. The GCI Model indicates that the situation has a small probability of recovery, but there is insufficient evidence to suggest that the recovery trend will improve significantly in the near future.

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